## Statistical Reasoning for the Behavioral SciencesAccording to Richard Shavelson, the goal of any good statistics book is for readers not only to learn the meaning of statistical concepts but also to be able to use these concepts to solve problems. This new, revised edition of |

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### Contents

section | 44 |

section m | 108 |

Descriptive Statistics for Joint Distributions | 146 |

Copyright | |

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abscissa aggressive boys alternative hypotheses assumption average behavioral research between-subjects calculated cell chapter class interval column computing confidence interval control group correlation coefficient covariate critical value cumulative frequency data from Table degrees of freedom descriptive statistics differences between means equal estimate Example Problem expected frequencies experimental group factor Figure Formula frequency distribution frequency polygon grades independent variable inferences interaction interpretation measure median normal distribution null and alternative null hypothesis number of subjects observed one-way ANOVA percent percentile population mean post hoc comparisons posttest scores predicted pretest probability Procedure provides random sample randomly assigned ranks RBANOVA reject H0 reject the null relationship sample mean sample statistics sampling distribution SAT scores scale scatterplot score limit score value scores falling self-concept SPANOVA SPSS standard deviation standard error statistical test step summary sums of squares teacher expectancy study tion treatment effect two-tail upper real limit within-subjects zero